Farhad Samimi Namin | Mathematics | Best Researcher Award

Posted on by sciencefather

Assoc Prof Dr. Farhad Samimi Namin | Mathematics |Best Researcher Award

Academic member at University of Zanjan, Iran.

Farhad Samimi Namin is an Assistant Professor at Zanjan University, specializing in mining engineering with a focus on decision theory models for underground mining method selection. He obtained his Ph.D. from Amirkabir University of Technology, Tehran, and has since developed expertise in mine planning, equipment selection, multicriteria decision making, fuzzy logic, and environmental impact assessment. Farhad has authored numerous papers published in prestigious journals and presented at international conferences, showcasing his contributions to advancing mining practices. His teaching portfolio includes courses on underground mining methods and mine design principles, where he emphasizes both theoretical concepts and practical applications. With a commitment to interdisciplinary research and professional development, Farhad continues to play a pivotal role in shaping the future of mining engineering through innovative research and academic leadership.

Professional Profiles:

Education

Farhad Samimi Namin pursued his academic journey in mining engineering, starting with a B.Sc. degree from the International University of Imam Khomeini in Qazvin, Iran. He continued his studies with an M.Sc. in Mining Engineering at Sahid Bahonar University in Kerman, Iran, achieving high academic honors with a GPA of 17.98 out of 20. His educational pursuit culminated in a Ph.D. from Amirkabir University of Technology (Tehran Polytechnic University), Tehran, Iran, where his doctoral research focused on the development of a decision theory-based model for underground mining method selection. His academic achievements reflect a strong foundation in theoretical and applied aspects of mining engineering, preparing him for his subsequent career as an Assistant Professor at the University of Zanjan, Iran.

Professional Experience

Farhad Samimi Namin has garnered extensive professional experience, notably serving as an Assistant Professor in the Mining Engineering Department at Zanjan University, Iran, for over seven years. His academic role includes teaching courses such as Underground Mining Methods, Advanced Underground Excavation Methods, Mine Design Principles, Mine Surveying, Tunneling, Shaft Sinking, Mine Management, Mine Ventilation, and Mine Services. His tenure at Zanjan University has been marked by contributions to both academic instruction and research in the field of mining engineering, particularly focusing on mine planning and the application of Multi-Criteria Decision Making (MADM) techniques in mining contexts.

Research Interest

Farhad Samimi Namin’s research interests primarily revolve around mine planning and design, with a specific focus on mining methods and equipment selection. He specializes in applying Multi-Criteria Decision Making (MADM), fuzzy logic, and environmental impact assessment techniques in the mining industry. His research aims to optimize decision-making processes related to underground mining method selection and to address environmental concerns associated with mining operations. Additionally, he explores practical applications of decision-making techniques in the mining sector, aiming to enhance operational efficiency and sustainability in mineral resource management.

Research Skills

Farhad Samimi Namin is an esteemed figure in mining engineering, currently serving as an Assistant Professor at Zanjan University. He earned his Ph.D. from Amirkabir University of Technology, Tehran, specializing in decision theory models for underground mining method selection. His research interests encompass mine planning, mining equipment selection, multicriteria decision making, fuzzy logic applications, and environmental impact assessment. With a prolific publication record in esteemed journals and presentations at international conferences, Farhad has made significant contributions to advancing mining methodologies. His expertise extends to technical writing, data analysis, and interdisciplinary collaboration, reflecting a comprehensive approach to addressing complex mining challenges. Through his teaching in courses such as underground mining methods and mine design principles, he nurtures the next generation of mining professionals, emphasizing practical applications and theoretical foundations in mining engineering.

Publications

  1. Title: A Review: Applications of Fuzzy Theory in Rock Engineering
    • Authors: Samimi Namin, F.; Rouhani, M.M.
    • Year: 2024
    • Citations: 1
  2. Title: Investigate the potential of using fuzzy similarity in decision making under uncertainty for mining projects
    • Authors: Rouhani, M.M.; Namin, F.S.
    • Year: 2023
    • Citations: 1
  3. Title: Development of a new system for improving blastability by using the Fuzzy Delphi AHP method
    • Authors: Jalali, Z.; Namin, F.S.
    • Year: 2023
    • Citations: 0
  4. Title: Analyzing the effects of natural ventilation caused by excavating the waste pass on the ventilation network of the Anguran mine
    • Authors: Fetri, M.; Shahabi, R.S.; Namin, F.S.; Zeyni, E.E.; Khereshki, M.H.K.
    • Year: 2023
    • Citations: 0
  5. Title: A literature review of Multi Criteria Decision-Making (MCDM) towards mining method selection (MMS)
    • Authors: Namin, F.S.; Ghadi, A.; Saki, F.
    • Year: 2022
    • Citations: 21
  6. Title: 3D computational study of tunnel segment behaviour under loading by TBM thrust jacks
    • Authors: Dastjerdy, B.; Hasanpour, R.; Samimi Namin, F.; Chakeri, H.
    • Year: 2021
    • Citations: 2
  7. Title: Numerical investigation into the effect of stepping on the circumferential joint in the precast tunnel segments under TBM thrust jacks
    • Authors: Karimi, M.; Chakeri, H.; Namin, F.S.; Sharghi, M.; Özçelik, Y.
    • Year: 2020
    • Citations: 6
  8. Title: Uncertainty determination in rock mass classification when using FRMR Software
    • Authors: Namin, F.S.; Rinne, M.; Rafie, M.
    • Year: 2015
    • Citations: 3
  9. Title: Prediction of subsidence risk by FMEA using artificial neural network and fuzzy inference system
    • Authors: Rafie, M.; Samimi Namin, F.
    • Year: 2015
    • Citations: 84
  10. Title: FMMSIC: A hybrid fuzzy based decision support system for MMS (in order to estimate interrelationships between criteria)
    • Authors: Namin, F.S.; Shahriar, K.; Bascetin, A.; Ghodsypour, S.H.
    • Year: 2012
    • Citations: 28

 

DROH ARSENE BEHI | Mathematics | Best Researcher Award

Posted on by sciencefather

Dr. DROH ARSENE BEHI | Mathematics | Best Researcher Award

Assistant Professor of UNIVERSITE DE MAN, COTE D’IVOIRE, Côte d’Ivoire.

Dr. Droh Arsene Behi is a distinguished mathematician with a PhD in Mathematics and Applications from Université Félix Houphouët-Boigny, specializing in EDP, Numerical Analysis, and Optimization. He holds a Master’s degree in Mathematics and Applications, a Master’s in Mathematical Sciences, a Bachelor’s degree in Mathematical Sciences, and a General University Diploma, all from Université Félix Houphouët-Boigny. Dr. Behi has a rich professional background, having worked as a secondary school teacher at the Ministry of Education in Côte d’Ivoire from 2008 to 2015 and again from 2018 to 2022. Since 2022, he has been a Lecturer-Researcher at the University of Man. Proficient in French and English, and skilled in software like Word, Excel, Geogebra, and Scilab, Dr. Behi is known for his dedication to mathematics and computing, and his ability to work under pressure both individually and in teams.

Professional Profiles:

Education

Dr. Droh Arsene Behi has an extensive academic background in mathematics, culminating in a doctoral degree. He earned his PhD in Mathematics and Applications, specializing in EDP, Numerical Analysis, and Optimization, from Université Félix Houphouët-Boigny in Côte d’Ivoire, completing his thesis on September 1, 2021. Prior to his doctorate, Dr. Behi obtained a Master of Mathematics and Applications with a focus on EDP, Numerical Analysis, and Optimization from the same university in 2014-2015. He also holds a Master’s degree in Mathematical Sciences, which he completed in 2013-2014, and a Bachelor’s degree in Mathematical Sciences, obtained in 2011-2012, both from Université Félix Houphouët-Boigny. Dr. Behi’s foundational education includes a General University Diploma in Mathematical Sciences, which he earned in 2004-2005 from Université Félix Houphouët-Boigny. His academic journey began with a Baccalaureate Series C from Lycée Moderne de Man, Côte d’Ivoire, completed in 1998-1999. Throughout his educational path, Dr. Behi has consistently focused on mathematical sciences, developing a deep expertise in numerical analysis and optimization.

Professional Experience

Dr. Droh Arsene Behi has accumulated extensive professional experience in the field of education and research. From 2008 to 2015, and again from 2018 to 2022, he served as a secondary school teacher under the Ministry of Education, Technical Education, and Vocational Training in Côte d’Ivoire. During this period, he imparted knowledge and fostered academic growth among his students. In 2022, he transitioned to higher education as a Lecturer-Researcher at the Ministry of Higher Education and Scientific Research, University of Man, Côte d’Ivoire. His role involves not only teaching but also contributing to academic research, particularly in the areas of EDP, Numerical Analysis, and Optimization. Throughout his career, Dr. Behi has demonstrated a strong commitment to education, reflected in his continuous efforts to enhance his teaching methodologies and research capabilities. His proficiency in software tools such as Word, Excel, Geogebra, and Scilab has further augmented his teaching and research efficiency.

Research Interest

Dr. Droh Arsene Behi’s research interests lie primarily in the field of nonlinear analysis, particularly focusing on EDP (partial differential equations), numerical analysis, and optimization. His work aims to advance theoretical understanding and practical applications of these mathematical concepts. He is deeply engaged in exploring innovative solutions and methodologies within these domains, contributing significantly to the body of knowledge in mathematical sciences.

Award and Honors

Throughout his academic and professional journey, Dr. Behi has received several awards and honors. Notably, he earned a Doctoral thesis in Mathematics and Applications with a specialization in EDP, Numerical Analysis, and Optimization from the Université Félix HOUPHOUËT-BOIGNY, showcasing his expertise and dedication to his field. His academic achievements and contributions to mathematics have been recognized by his peers and institutions alike, underscoring his commitment to excellence in research and education.

Research Skills

Dr. Behi possesses a robust set of research skills that have significantly contributed to his success as a researcher and educator. He is proficient in various software tools essential for mathematical analysis, including Word, Excel, Geogebra, and Scilab. His ability to conduct thorough and precise numerical analyses, combined with his expertise in optimization techniques, enables him to tackle complex mathematical problems effectively. Additionally, Dr. Behi’s strong foundation in nonlinear analysis and his practical approach to applying theoretical concepts to real-world scenarios highlight his versatility and capability as a researcher in the field of mathematics.

Publications

  1. Study of Nonlinear Second-Order Differential Inclusion Driven by a Φ-Laplacian Operator Using the Lower and Upper Solutions Method
    • Authors: Béhi, D.A., Adjé, A., Etienne Goli, K.C.
    • Journal: Journal of Mathematics, 2024, 2024, 2258546
    • Citations: 0
  2. A Variational Method for Multivalued Boundary Value Problems
    • Authors: Béhi, D.A., Adjé, A.
    • Journal: Abstract and Applied Analysis, 2020, 2020, 8463263
    • Citations: 0